{"id":"W3210842636","doi":"10.1007/s11548-021-02516-9","title":"3D ultrasound navigation system for screw insertion in posterior spine surgery: a phantom study","year":2021,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Spinal Fractures and Fixation Techniques","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Imaging phantom; Medicine; 3D ultrasound; Ultrasound; Vertebra; Navigation system; Spinal fusion; Scoliosis; Orientation (vector space); Radiology; Computer science; Surgery; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001015274,0.0006113817,0.0004933846,0.0008321262,0.000220627,0.0006231953,0.000949459,0.001101357,0.00283321],"category_scores_gemma":[0.004559653,0.0006319851,0.0004370708,0.0007831484,0.0007402037,0.0008008826,0.0004230423,0.0004823531,0.0005271301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004235438,"about_ca_system_score_gemma":0.000923386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002692372,"about_ca_topic_score_gemma":0.001938254,"domain_scores_codex":[0.9992216,0.0004450534,0.00004928926,0.00006785001,0.0001537909,0.00006240695],"domain_scores_gemma":[0.9958655,0.002878024,0.0002620204,0.0003433673,0.0005090829,0.0001420981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01738965,0.01417661,0.09132862,0.003030706,0.000448379,0.01008993,0.006397497,0.08272463,0.6294646,0.002491859,0.005409603,0.137048],"study_design_scores_gemma":[0.003084458,0.1220753,0.2251688,0.0007185308,0.002206188,0.03473468,0.004032361,0.2826082,0.302786,0.001819857,0.01988771,0.0008778322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763471,0.0009607092,0.01900262,0.0002463275,0.00005423865,0.0001622552,0.0005415081,0.000181144,0.002504093],"genre_scores_gemma":[0.9896379,0.0007267534,0.007696318,0.0001257778,0.00003452526,0.00008281011,0.0003566785,0.00008930184,0.001249941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00283321,"threshold_uncertainty_score":0.009478033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02397164542853315,"score_gpt":0.3132541544413867,"score_spread":0.2892825090128536,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}